Classification in Data Mining MCQs | Classification in Data Mining Multiple Choice Questions and Answers
Questions
1
The problem of finding hidden structure in unlabeled data is called
Answer: Unsupervised learning
2
Some telecommunication company wants to segment their customers into distinct groups in order to send appropriate subscription offers, this is an example of
Answer: Unsupervised learning
⭐ Make GKSeries Your Preferred Source on Google
Add GKSeries as Preferred Source
4
In the example of predicting number of babies based on storks’ population size, number of babies is
Answer: outcome
5
Which of the following issue is considered before investing in Data Mining?
Answer: All of the above
8
A definition or a concept is if it classifies any examples as coming within the concept
Answer: Consistent
9
A definition of a concept is if it recognizes all the instances of that concept
Answer: Complete
10
Black boxes are
Answer: Systems that can be used without knowledge of internal operations
11
Data mining is
Answer: The actual discovery phase of a knowledge discovery process
12
E-R model uses this symbol to represent weak entity set?
Answer: Doubly outlined rectangle
15
________ produces the relation that has attributes of Ri and R2
Answer: Cartesian product
16
Classification accuracy is
Answer: Measure of the accuracy, of the classification of a concept that is given by a certain theory
18
Cluster is
Answer: Group of similar objects that differ significantly from other objects
19
You are given data about seismic activity in Japan, and you want to predict a magnitude of the next earthquake, this is in an example of
Answer: Supervised learning
20
Assume you want to perform supervised learning and to predict number of newborns according to size of storks’ population (http://www.brixtonhealth.com/storksBabies.pdf), it is an example of
Answer: Regression
